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» Using Information Extraction to Improve Document Retrieval
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ERCIMDL
2010
Springer
163views Education» more  ERCIMDL 2010»
15 years 7 months ago
Determining Time of Queries for Re-ranking Search Results
Abstract. Recent work on analyzing query logs shows that a significant fraction of queries are temporal, i.e., relevancy is dependent on time, and temporal queries play an importan...
Nattiya Kanhabua, Kjetil Nørvåg
TREC
2003
15 years 8 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
CIKM
2009
Springer
16 years 1 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
WWW
2009
ACM
16 years 1 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
TREC
1996
15 years 8 months ago
ANU/ACSys TREC-5 Experiments
A number of experiments conducted within the framework of the TREC-5 conference and using the Parallel Document Retrieval Engine (PADRE) are reported. Several of the experiments i...
David Hawking, Paul B. Thistlewaite, Peter Bailey